2015Unpublished venueRequires access

Target location based on quasi-Newton algorithm in multistatic passive radar

Yongbao Feng, Hanwei Sun, D.L. Liu, Yahui Ma

Open publisher page 4 citations

Abstract

The solution to nonlinear equations is required in passive radar positioning. However, when the traditional Newton method is adopted, Newton direction may not exist since Jacobian matrix of the equations may be singular. Although the quasi-Newton algorithm overcomes the singular problems, it confronts the common problem of converging to a local optimum value instead of the global optimum value. In this paper, we introduce two quasi-Newton algorithms, namely Spectral Approach for Nonlinear Equations (SANE) and Nonmonotone Spectral for Nonlinear Equations (NMSGNE), to solve this problem. The effectiveness of the proposed target location algorithms is verified via simulation.

About this research paper

What this paper is about

The solution to nonlinear equations is required in passive radar positioning. However, when the traditional Newton method is adopted, Newton direction may not exist since Jacobian matrix of the equations may be singular. Although the quasi-Newton algorithm overcomes the singular problems, it confronts the common problem of converging to a local optimum value instead of the global optimum value. In this paper, we introduce two quasi-Newton algorithms, namely Spectral Approach for Nonlinear Equations (SANE) and Nonmonotone Spectral for Nonlinear Equations (NMSGNE), to solve this problem. The effectiveness of the proposed target location algorithms is verified via simulation.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The solution to nonlinear equations is required in passive radar positioning. However, when the traditional Newton method is adopted, Newton direction may not exist since Jacobian matrix of the equations may be singular. Although the quasi-Newton algorithm overcomes the singular problems, it confronts the common problem of converging to a local optimum value instead of the global optimum value. In this paper, we introduce two quasi-Newton algorithms, namely Spectral Approach for Nonlinear Equations (SANE) and Nonmonotone Spectral for Nonlinear Equations (NMSGNE), to solve this problem. The effectiveness of the proposed target location algorithms is verified via simulation.

Key concepts: Jacobian matrix and determinant, Nonlinear system, Newton's method, Radar, Algorithm, Quasi-Newton method, Computer science, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Target location based on quasi-Newton algorithm in multistatic passive radar — Research Paper | ScholarLens